Journal of Geo-information Science, Volume. 22, Issue 3, 605(2020)

Simulating Land Use Patterns of the Mid-Zhejiang Urban Agglomeration Considering the Effects of Urban Rail Transit

Jiafeng WANG1...1, Rong WANG2,2, Yongjiu FENG1,1,*, Zhenkun LEI2,2, Chen GAO2,2, Shurui CHEN2,2, Yanmin JIN1,1, and Shuting ZHAI22 |Show fewer author(s)
Author Affiliations
  • 1College of Surveying and Geo-Informatics, Tongji University, Shanghai 200092, China
  • 1同济大学测绘与地理信息学院,上海 200092
  • 2College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China
  • 2上海海洋大学海洋科学学院,上海 201306
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    Figures & Tables(11)
    Study area: location, administrative boundaries and planned urban rail transit sites
    Land use patternsof the Mid-Zhejiang Urban Agglomeration derived from GlobeLand30 in 2000 and 2010
    Spatially visualized driving factors of land use change from 2000 to 2010
    Comparison of the actual and simulated land use patterns in 2010
    Land use transition probabilities andtheir statistics under the two scenarios
    The Land use patterns of theMid-Zhejiang urban agglomeration in 2030
    5-km based buffers centered at the rail transit sites
    • Table 1. Land use transition matrix of the Mid-Zhejiang Urban Agglomeration from 2000 to 2010 (km2)

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      Table 1. Land use transition matrix of the Mid-Zhejiang Urban Agglomeration from 2000 to 2010 (km2)

      类型2010年
      农田林地草地水域建设用地总计
      2000年农田3479.41167.6838.0118.75514.064217.91
      林地135.875506.24130.8412.099.665794.70
      草地61.53118.18296.801.345.73483.59
      水域17.648.550.76129.023.59159.57
      建设用地25.271.230.640.99262.05290.19
      总计3719.735801.88467.06162.20795.0910 945.96
    • Table 2. The spatial driving factors of land use change

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      Table 2. The spatial driving factors of land use change

      类别变量简称分辨率/m年份意义来源
      地形高程DEM302009评估地形要素对土地利用的影响www.gscloud.cn
      坡度Slope302009计算高程数据的坡度
      社会经济人口POP902015评估社会经济要素对土地利用的影响www.worldpop.org
      经济GDP9002010www.ngdc.noaa.gov
      区位到市中心的距离DisCity302010行政中心邻近度对土地利用的影响ArcGIS计算对应矢量数据的欧氏距离。矢量数据来源:www.openstreetmap.org
      到区中心的距离DisCounty30
      交通到主干道的距离DisRoad30道路邻近度对土地利用的影响
      到轨道交通的距离DisRail30
    • Table 3. Errormatrix and accuracyassessment of land use simulation in 2010 (km2)

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      Table 3. Errormatrix and accuracyassessment of land use simulation in 2010 (km2)

      类型2010年真实
      农田林地草地水域建设用地总计
      2010年模拟农田329.4118.0811.751.7410.24371.22
      林地14.05550.9113.611.210.93580.71
      草地14.7910.7321.010.120.3046.95
      水域2.000.900.1012.900.3916.29
      建设用地11.280.250.250.3067.3579.43
      总计371.53580.8746.7216.2779.211094.60
      总体精度/%89.74
      Kappa /%82.69
      FOM/%29.86
    • Table 4. Landscape metrics of the two predicted land use scenarios

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      Table 4. Landscape metrics of the two predicted land use scenarios

      景观指数常规情景轨交情景
      农田林地草地水域建设用地农田林地草地水域建设用地
      LPI6.6714.480.020.293.564.7415.940.020.293.54
      PAFRAC1.441.471.551.471.371.551.541.621.471.37
      DIVISION0.990.951.001.001.001.000.941.001.001.00
      IJI84.8564.5248.4280.2441.1880.5961.3751.4581.5842.81
      PLADJ89.8994.2552.0577.6393.2587.5593.0545.0077.8293.66
      AI89.9494.2952.1277.8193.3287.6093.0845.0678.0193.73
      CLUMPY0.860.880.500.770.920.830.850.430.780.93
      COHESION99.6599.9084.7797.1299.4999.5999.9185.0397.0999.52
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    Jiafeng WANG, Rong WANG, Yongjiu FENG, Zhenkun LEI, Chen GAO, Shurui CHEN, Yanmin JIN, Shuting ZHAI. Simulating Land Use Patterns of the Mid-Zhejiang Urban Agglomeration Considering the Effects of Urban Rail Transit[J]. Journal of Geo-information Science, 2020, 22(3): 605

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    Paper Information

    Received: Jun. 13, 2019

    Accepted: --

    Published Online: Sep. 16, 2020

    The Author Email: FENG Yongjiu (yjfeng@tongji.edu.cn)

    DOI:10.12082/dqxxkx.2020.190305

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